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<div class="contents">
&#160;

<h3><a class="anchor" id="index_c"></a>- c -</h3><ul>
<li>currentInput
: <a class="el" href="classLWR.html#a1f10b43c5c2a8193a6a9a608ba1b4b25">LWR</a>
</li>
</ul>


<h3><a class="anchor" id="index_d"></a>- d -</h3><ul>
<li>desiredOut
: <a class="el" href="classLinearRegression.html#a4955fea50332c1e52dff369a0ba9f1a0">LinearRegression</a>
</li>
<li>desiredOutput
: <a class="el" href="classLWR.html#ac00e856f9ef407f234cb3f06fe534d65">LWR</a>
</li>
<li>desiredSens
: <a class="el" href="classRTRL.html#a7c5691d2b26a3297c7b5502c1e5cbba3">RTRL</a>
, <a class="el" href="classBPDC.html#a958a3bcb34bd68bb5e0ad1816da42e82">BPDC</a>
</li>
<li>dt
: <a class="el" href="classBPDC.html#acf2123ec37f902bcdacd766376f3661c">BPDC</a>
</li>
</ul>


<h3><a class="anchor" id="index_e"></a>- e -</h3><ul>
<li>epsillon
: <a class="el" href="classBPDC.html#a72d62c2e516ddcefc2398e849349aef9">BPDC</a>
</li>
<li>error
: <a class="el" href="classLinearRegression.html#aabe743e668a3ae0d82f2da8978deb186">LinearRegression</a>
</li>
<li>errorBuff
: <a class="el" href="classBPDC.html#aef569d9244f88e7721e9ec1d40a22ae5">BPDC</a>
</li>
</ul>


<h3><a class="anchor" id="index_f"></a>- f -</h3><ul>
<li>forgettFactor
: <a class="el" href="classLinearRegression.html#aa783c40e02b8661f494c20ec8c724ca6">LinearRegression</a>
</li>
</ul>


<h3><a class="anchor" id="index_h"></a>- h -</h3><ul>
<li>heta
: <a class="el" href="classBPDC.html#ae28e6df7dbe289649e35facad3bc8572">BPDC</a>
</li>
</ul>


<h3><a class="anchor" id="index_i"></a>- i -</h3><ul>
<li>inputHistory
: <a class="el" href="classLWR.html#a1f9ee94677cb24599b3ee29e17f778fa">LWR</a>
</li>
<li>inputNodes
: <a class="el" href="classBPDC.html#a05f1ea7cce927d3e4223d26fbd803dbe">BPDC</a>
</li>
<li>inputNum
: <a class="el" href="classLinearRegression.html#aa1c2a397b9d243bd63998eab08e952ab">LinearRegression</a>
, <a class="el" href="classLWR.html#a0ca0d792f6a4dd569fa1ef9c5444e17f">LWR</a>
, <a class="el" href="classBPDC.html#a3fff4d746981fe91a9bcd047f16404c0">BPDC</a>
</li>
<li>inputs
: <a class="el" href="classLinearRegression.html#aacbab3190af48c974ef498394a206ec4">LinearRegression</a>
</li>
<li>inputWeights
: <a class="el" href="classBPDC.html#a242b8d0ff10d219018adc7b5dface3f5">BPDC</a>
</li>
<li>invCorrelation
: <a class="el" href="classLinearRegression.html#a06b23260af70aa7491394b081230c538">LinearRegression</a>
</li>
</ul>


<h3><a class="anchor" id="index_l"></a>- l -</h3><ul>
<li>learningRate
: <a class="el" href="classRTRL.html#aef2f207bf3fbd5c021c38ac47c43df1b">RTRL</a>
</li>
</ul>


<h3><a class="anchor" id="index_n"></a>- n -</h3><ul>
<li>nodes
: <a class="el" href="classBPDC.html#a7bef215916138923f6c5cdddfb610877">BPDC</a>
</li>
<li>nodeSensitivity
: <a class="el" href="classRTRL.html#a37638ae70d7bbd0b03aa5c1b3ce55d47">RTRL</a>
</li>
<li>nodeState
: <a class="el" href="classRTRL.html#ab8432648bd198b508d3df70795a2e530">RTRL</a>
</li>
<li>numInputNodes
: <a class="el" href="classRTRL.html#aacf8aed7c8db184aac677b92cfb897c0">RTRL</a>
</li>
<li>numOutputNodes
: <a class="el" href="classRTRL.html#a8812c0b19a5dcf8bd60358eb2943ca5a">RTRL</a>
</li>
<li>numReservoirNodes
: <a class="el" href="classRTRL.html#a7efbd35c2dc8ce128d90beca0a48cfcb">RTRL</a>
</li>
</ul>


<h3><a class="anchor" id="index_o"></a>- o -</h3><ul>
<li>outputHistory
: <a class="el" href="classLWR.html#a5c01ae8d25bf4eb9a70241e3b262ea25">LWR</a>
</li>
<li>outputNum
: <a class="el" href="classBPDC.html#a1efa2e4e1ef509c8e6b068a264c70548">BPDC</a>
, <a class="el" href="classLWR.html#a2d6394b9ef3712d0e5fe6cedbee023b0">LWR</a>
, <a class="el" href="classLinearRegression.html#ac0ae52ea38fd61019d6d94845229a6f2">LinearRegression</a>
</li>
<li>outputState
: <a class="el" href="classRTRL.html#a008e08ccdfed2dc91d136f43def827f1">RTRL</a>
</li>
</ul>


<h3><a class="anchor" id="index_p"></a>- p -</h3><ul>
<li>predictedOut
: <a class="el" href="classLinearRegression.html#a732cefc5759ef27e2ddacda4bed7e652">LinearRegression</a>
</li>
</ul>


<h3><a class="anchor" id="index_r"></a>- r -</h3><ul>
<li>regression_coeff
: <a class="el" href="classLinearRegression.html#a47d66c19a4d50116875969be51248a6c">LinearRegression</a>
</li>
<li>regressionCoeff
: <a class="el" href="classLWR.html#a1e3e278ef9540100c9cd14fa8e5eec64">LWR</a>
</li>
<li>reservoirNum
: <a class="el" href="classBPDC.html#a895c192c71e4c91691c61cf2dcdd965e">BPDC</a>
</li>
</ul>


<h3><a class="anchor" id="index_w"></a>- w -</h3><ul>
<li>weightedInputs
: <a class="el" href="classLWR.html#a8420c1052435c46cbd10c16ccf1ad485">LWR</a>
</li>
<li>weightedOutputs
: <a class="el" href="classLWR.html#afc99ad32e2d3095addf80ae231548ce9">LWR</a>
</li>
<li>weights
: <a class="el" href="classLWR.html#a3b27e56c511b0590541189646beca69c">LWR</a>
, <a class="el" href="classBPDC.html#a302ff738b16cfe38490f05884bbf689e">BPDC</a>
, <a class="el" href="classRTRL.html#ada2be9a65806afca86c8b74ec4043800">RTRL</a>
</li>
</ul>
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